Census Dataset

Dataset statistics

Number of variables	14
Number of observations	32561
Missing cells	4262
Missing cells (%)	0.9%
Duplicate rows	24
Duplicate rows (%)	0.1%
Total size in memory	18.1 MiB
Average record size in memory	583.0 B

Variable types

Numeric	6
Categorical	8

Dataset

Description	Predict whether income exceeds $50K/yr based on census data. Also known as "Census Income" dataset. Extraction was done by Barry Becker from the 1994 Census database. A set of reasonably clean records was extracted using the following conditions: ((AAGE>16) && (AGI>100) && (AFNLWGT>1)&& (HRSWK>0)). Prediction task is to determine whether a person makes over 50K a year.
Creator	Barry Becker
Author	Ronny Kohavi and Barry Becker
URL	https://archive.ics.uci.edu/ml/datasets/adult

Variable descriptions

age	definition 0
workclass	definition 1
fnlwgt	definition 2
education	definition 3
education-num	definition 4
marital-status	definition 5
occupation	definition 6
relationship	definition 7
race	definition 8
sex	definition 9
capital-gain	definition 10
capital-loss	definition 11
hours-per-week	definition 12
native-country	definition 13

Alerts

Dataset has 24 (0.1%) duplicate rows	Duplicates
`education-num` is highly correlated with `education` and 1 other fields	High correlation
`education` is highly correlated with `education-num` and 1 other fields	High correlation
`relationship` is highly correlated with `marital-status` and 1 other fields	High correlation
`sex` is highly correlated with `occupation` and 1 other fields	High correlation
`age` is highly correlated with `marital-status`	High correlation
`workclass` is highly correlated with `occupation`	High correlation
`marital-status` is highly correlated with `age` and 1 other fields	High correlation
`occupation` is highly correlated with `workclass` and 3 other fields	High correlation
`race` is highly correlated with `native-country`	High correlation
`native-country` is highly correlated with `race`	High correlation
`workclass` has 1836 (5.6%) missing values	Missing
`occupation` has 1843 (5.7%) missing values	Missing
`native-country` has 583 (1.8%) missing values	Missing
`capital-gain` has 29849 (91.7%) zeros	Zeros
`capital-loss` has 31042 (95.3%) zeros	Zeros

Reproduction

Analysis started	2022-10-20 17:49:35.077919
Analysis finished	2022-10-20 17:49:54.510345
Duration	19.43 seconds
Software version	pandas-profiling v3.3.1
Download configuration	config.json

age
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	73
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	38.58164676

Minimum	17
Maximum	90
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	254.5 KiB

Dataset statistics

Number of variables	14
Number of observations	32561
Missing cells	4262
Missing cells (%)	0.9%
Duplicate rows	24
Duplicate rows (%)	0.1%
Total size in memory	18.1 MiB
Average record size in memory	583.0 B

Variable types

Numeric	6
Categorical	8

Dataset

Description	Predict whether income exceeds $50K/yr based on census data. Also known as "Census Income" dataset. Extraction was done by Barry Becker from the 1994 Census database. A set of reasonably clean records was extracted using the following conditions: ((AAGE>16) && (AGI>100) && (AFNLWGT>1)&& (HRSWK>0)). Prediction task is to determine whether a person makes over 50K a year.
Creator	Barry Becker
Author	Ronny Kohavi and Barry Becker
URL	https://archive.ics.uci.edu/ml/datasets/adult

Variable descriptions

age	definition 0
workclass	definition 1
fnlwgt	definition 2
education	definition 3
education-num	definition 4
marital-status	definition 5
occupation	definition 6
relationship	definition 7
race	definition 8
sex	definition 9
capital-gain	definition 10
capital-loss	definition 11
hours-per-week	definition 12
native-country	definition 13

Alerts

Dataset has 24 (0.1%) duplicate rows	Duplicates
`education-num` is highly correlated with `education` and 1 other fields	High correlation
`education` is highly correlated with `education-num` and 1 other fields	High correlation
`relationship` is highly correlated with `marital-status` and 1 other fields	High correlation
`sex` is highly correlated with `occupation` and 1 other fields	High correlation
`age` is highly correlated with `marital-status`	High correlation
`workclass` is highly correlated with `occupation`	High correlation
`marital-status` is highly correlated with `age` and 1 other fields	High correlation
`occupation` is highly correlated with `workclass` and 3 other fields	High correlation
`race` is highly correlated with `native-country`	High correlation
`native-country` is highly correlated with `race`	High correlation
`workclass` has 1836 (5.6%) missing values	Missing
`occupation` has 1843 (5.7%) missing values	Missing
`native-country` has 583 (1.8%) missing values	Missing
`capital-gain` has 29849 (91.7%) zeros	Zeros
`capital-loss` has 31042 (95.3%) zeros	Zeros

Reproduction

Analysis started	2022-10-20 18:29:06.667887
Analysis finished	2022-10-20 18:29:15.620418
Duration	8.95 seconds
Software version	pandas-profiling v3.4.0
Download configuration	config.json

age
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	73
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	38.58164676

Minimum	17
Maximum	90
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	254.5 KiB

Quantile statistics

Minimum	17
5-th percentile	19
Q1	28
median	37
Q3	48
95-th percentile	63
Maximum	90
Range	73
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	13.64043255
Coefficient of variation (CV)	0.3535471837
Kurtosis	-0.1661274596
Mean	38.58164676
Median Absolute Deviation (MAD)	10
Skewness	0.5587433694
Sum	1256257
Variance	186.0614002
Monotonicity	Not monotonic

Quantile statistics

Minimum	17
5-th percentile	19
Q1	28
median	37
Q3	48
95-th percentile	63
Maximum	90
Range	73
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	13.64043255
Coefficient of variation (CV)	0.3535471837
Kurtosis	-0.1661274596
Mean	38.58164676
Median Absolute Deviation (MAD)	10
Skewness	0.5587433694
Sum	1256257
Variance	186.0614002
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
36	898	2.8%
31	888	2.7%
34	886	2.7%
23	877	2.7%
35	876	2.7%
33	875	2.7%
28	867	2.7%
30	861	2.6%
37	858	2.6%
25	841	2.6%
Other values (63)	23834	73.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
17	395	1.2%
18	550	1.7%
19	712	2.2%
20	753	2.3%
21	720	2.2%
22	765	2.3%
23	877	2.7%
24	798	2.5%
25	841	2.6%
26	785	2.4%

Value	Count	Frequency (%)
90	43	0.1%
88	3	< 0.1%
87	1	< 0.1%
86	1	< 0.1%
85	3	< 0.1%
84	10	< 0.1%
83	6	< 0.1%
82	12	< 0.1%
81	20	0.1%
80	22	0.1%

workclass
Categorical

HIGH CORRELATION
MISSING

Distinct	8
Distinct (%)	< 0.1%
Missing	1836
Missing (%)	5.6%
Memory size	2.0 MiB

Private	22696
Self-emp-not-inc	2541
Local-gov	2093
State-gov	1298
Self-emp-inc	1116
Other values (3)	981

Length

Max length	17
Median length	8
Mean length	9.274597234
Min length	8

Characters and Unicode

Total characters	284962
Distinct characters	28
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	State-gov
2nd row	Self-emp-not-inc
3rd row	Private
4th row	Private
5th row	Private

Common Values

Value	Count	Frequency (%)
Private	22696	69.7%
Self-emp-not-inc	2541	7.8%
Local-gov	2093	6.4%
State-gov	1298	4.0%
Self-emp-inc	1116	3.4%
Federal-gov	960	2.9%
Without-pay	14	< 0.1%
Never-worked	7	< 0.1%
(Missing)	1836	5.6%

Length

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
36	898	2.8%
31	888	2.7%
34	886	2.7%
23	877	2.7%
35	876	2.7%
33	875	2.7%
28	867	2.7%
30	861	2.6%
37	858	2.6%
25	841	2.6%
Other values (63)	23834	73.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
17	395	1.2%
18	550	1.7%
19	712	2.2%
20	753	2.3%
21	720	2.2%
22	765	2.3%
23	877	2.7%
24	798	2.5%
25	841	2.6%
26	785	2.4%

Value	Count	Frequency (%)
90	43	0.1%
88	3	< 0.1%
87	1	< 0.1%
86	1	< 0.1%
85	3	< 0.1%
84	10	< 0.1%
83	6	< 0.1%
82	12	< 0.1%
81	20	0.1%
80	22	0.1%

workclass
Categorical

HIGH CORRELATION
MISSING

Distinct	8
Distinct (%)	< 0.1%
Missing	1836
Missing (%)	5.6%
Memory size	2.0 MiB

Private	22696
Self-emp-not-inc	2541
Local-gov	2093
State-gov	1298
Self-emp-inc	1116
Other values (3)	981

Length

Max length	17
Median length	8
Mean length	9.274597234
Min length	8

Characters and Unicode

Total characters	284962
Distinct characters	28
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	State-gov
2nd row	Self-emp-not-inc
3rd row	Private
4th row	Private
5th row	Private

Common Values

Value	Count	Frequency (%)
Private	22696	69.7%
Self-emp-not-inc	2541	7.8%
Local-gov	2093	6.4%
State-gov	1298	4.0%
Self-emp-inc	1116	3.4%
Federal-gov	960	2.9%
Without-pay	14	< 0.1%
Never-worked	7	< 0.1%
(Missing)	1836	5.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
private	22696	73.9%
self-emp-not-inc	2541	8.3%
local-gov	2093	6.8%
state-gov	1298	4.2%
self-emp-inc	1116	3.6%
federal-gov	960	3.1%
without-pay	14	< 0.1%
never-worked	7	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
e	33249	11.7%
	30725	10.8%
t	27861	9.8%
a	27061	9.5%
v	27054	9.5%
i	26367	9.3%
r	23670	8.3%
P	22696	8.0%
-	14227	5.0%
o	9006	3.2%
Other values (18)	43046	15.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	209285	73.4%
Space Separator	30725	10.8%
Uppercase Letter	30725	10.8%
Dash Punctuation	14227	5.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	33249	15.9%
t	27861	13.3%
a	27061	12.9%
v	27054	12.9%
i	26367	12.6%
r	23670	11.3%
o	9006	4.3%
l	6710	3.2%
n	6198	3.0%
c	5750	2.7%
Other values (10)	16359	7.8%

Uppercase Letter

Value	Count	Frequency (%)
P	22696	73.9%
S	4955	16.1%
L	2093	6.8%
F	960	3.1%
W	14	< 0.1%
N	7	< 0.1%

Space Separator

Value	Count	Frequency (%)
	30725	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	14227	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	240010	84.2%
Common	44952	15.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	33249	13.9%
t	27861	11.6%
a	27061	11.3%
v	27054	11.3%
i	26367	11.0%
r	23670	9.9%
P	22696	9.5%
o	9006	3.8%
l	6710	2.8%
n	6198	2.6%
Other values (16)	30138	12.6%

Common

Value	Count	Frequency (%)
	30725	68.4%
-	14227	31.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	284962	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	33249	11.7%
	30725	10.8%
t	27861	9.8%
a	27061	9.5%
v	27054	9.5%
i	26367	9.3%
r	23670	8.3%
P	22696	8.0%
-	14227	5.0%
o	9006	3.2%
Other values (18)	43046	15.1%

fnlwgt
Real number (ℝ_≥0)

Distinct	21648
Distinct (%)	66.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	189778.3665

Minimum	12285
Maximum	1484705
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	254.5 KiB

Value	Count	Frequency (%)
private	22696	73.9%
self-emp-not-inc	2541	8.3%
local-gov	2093	6.8%
state-gov	1298	4.2%
self-emp-inc	1116	3.6%
federal-gov	960	3.1%
without-pay	14	< 0.1%
never-worked	7	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
e	33249	11.7%
	30725	10.8%
t	27861	9.8%
a	27061	9.5%
v	27054	9.5%
i	26367	9.3%
r	23670	8.3%
P	22696	8.0%
-	14227	5.0%
o	9006	3.2%
Other values (18)	43046	15.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	209285	73.4%
Space Separator	30725	10.8%
Uppercase Letter	30725	10.8%
Dash Punctuation	14227	5.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	33249	15.9%
t	27861	13.3%
a	27061	12.9%
v	27054	12.9%
i	26367	12.6%
r	23670	11.3%
o	9006	4.3%
l	6710	3.2%
n	6198	3.0%
c	5750	2.7%
Other values (10)	16359	7.8%

Uppercase Letter

Value	Count	Frequency (%)
P	22696	73.9%
S	4955	16.1%
L	2093	6.8%
F	960	3.1%
W	14	< 0.1%
N	7	< 0.1%

Space Separator

Value	Count	Frequency (%)
	30725	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	14227	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	240010	84.2%
Common	44952	15.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	33249	13.9%
t	27861	11.6%
a	27061	11.3%
v	27054	11.3%
i	26367	11.0%
r	23670	9.9%
P	22696	9.5%
o	9006	3.8%
l	6710	2.8%
n	6198	2.6%
Other values (16)	30138	12.6%

Common

Value	Count	Frequency (%)
	30725	68.4%
-	14227	31.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	284962	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	33249	11.7%
	30725	10.8%
t	27861	9.8%
a	27061	9.5%
v	27054	9.5%
i	26367	9.3%
r	23670	8.3%
P	22696	8.0%
-	14227	5.0%
o	9006	3.2%
Other values (18)	43046	15.1%

fnlwgt
Real number (ℝ_≥0)

Distinct	21648
Distinct (%)	66.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	189778.3665

Minimum	12285
Maximum	1484705
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	254.5 KiB

Quantile statistics

Minimum	12285
5-th percentile	39460
Q1	117827
median	178356
Q3	237051
95-th percentile	379682
Maximum	1484705
Range	1472420
Interquartile range (IQR)	119224

Descriptive statistics

Standard deviation	105549.9777
Coefficient of variation (CV)	0.5561749721
Kurtosis	6.218810978
Mean	189778.3665
Median Absolute Deviation (MAD)	59894
Skewness	1.446980095
Sum	6179373392
Variance	1.114079779 × 10¹⁰
Monotonicity	Not monotonic

Quantile statistics

Minimum	12285
5-th percentile	39460
Q1	117827
median	178356
Q3	237051
95-th percentile	379682
Maximum	1484705
Range	1472420
Interquartile range (IQR)	119224

Descriptive statistics

Standard deviation	105549.9777
Coefficient of variation (CV)	0.5561749721
Kurtosis	6.218810978
Mean	189778.3665
Median Absolute Deviation (MAD)	59894
Skewness	1.446980095
Sum	6179373392
Variance	1.114079779 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
164190	13	< 0.1%
203488	13	< 0.1%
123011	13	< 0.1%
148995	12	< 0.1%
121124	12	< 0.1%
113364	12	< 0.1%
126675	12	< 0.1%
111483	11	< 0.1%
120277	11	< 0.1%
123983	11	< 0.1%
Other values (21638)	32441	99.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
12285	1	< 0.1%
13769	1	< 0.1%
14878	1	< 0.1%
18827	1	< 0.1%
19214	1	< 0.1%
19302	5	< 0.1%
19395	2	< 0.1%
19410	1	< 0.1%
19491	1	< 0.1%
19520	1	< 0.1%

Value	Count	Frequency (%)
1484705	1	< 0.1%
1455435	1	< 0.1%
1366120	1	< 0.1%
1268339	1	< 0.1%
1226583	1	< 0.1%
1184622	1	< 0.1%
1161363	1	< 0.1%
1125613	1	< 0.1%
1097453	1	< 0.1%
1085515	1	< 0.1%

education
Categorical

HIGH CORRELATION

Distinct	16
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.1 MiB

HS-grad	10501
Some-college	7291
Bachelors	5355
Masters	1723
Assoc-voc	1382
Other values (11)	6309

Length

Max length	13
Median length	12
Mean length	9.433709038
Min length	4

Characters and Unicode

Total characters	307171
Distinct characters	32
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Bachelors
2nd row	Bachelors
3rd row	HS-grad
4th row	11th
5th row	Bachelors

Common Values

Value	Count	Frequency (%)
HS-grad	10501	32.3%
Some-college	7291	22.4%
Bachelors	5355	16.4%
Masters	1723	5.3%
Assoc-voc	1382	4.2%
11th	1175	3.6%
Assoc-acdm	1067	3.3%
10th	933	2.9%
7th-8th	646	2.0%
Prof-school	576	1.8%
Other values (6)	1912	5.9%

Length

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
164190	13	< 0.1%
203488	13	< 0.1%
123011	13	< 0.1%
148995	12	< 0.1%
121124	12	< 0.1%
113364	12	< 0.1%
126675	12	< 0.1%
111483	11	< 0.1%
120277	11	< 0.1%
123983	11	< 0.1%
Other values (21638)	32441	99.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
12285	1	< 0.1%
13769	1	< 0.1%
14878	1	< 0.1%
18827	1	< 0.1%
19214	1	< 0.1%
19302	5	< 0.1%
19395	2	< 0.1%
19410	1	< 0.1%
19491	1	< 0.1%
19520	1	< 0.1%

Value	Count	Frequency (%)
1484705	1	< 0.1%
1455435	1	< 0.1%
1366120	1	< 0.1%
1268339	1	< 0.1%
1226583	1	< 0.1%
1184622	1	< 0.1%
1161363	1	< 0.1%
1125613	1	< 0.1%
1097453	1	< 0.1%
1085515	1	< 0.1%

education
Categorical

HIGH CORRELATION

Distinct	16
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.1 MiB

HS-grad	10501
Some-college	7291
Bachelors	5355
Masters	1723
Assoc-voc	1382
Other values (11)	6309

Length

Max length	13
Median length	12
Mean length	9.433709038
Min length	4

Characters and Unicode

Total characters	307171
Distinct characters	32
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Bachelors
2nd row	Bachelors
3rd row	HS-grad
4th row	11th
5th row	Bachelors

Common Values

Value	Count	Frequency (%)
HS-grad	10501	32.3%
Some-college	7291	22.4%
Bachelors	5355	16.4%
Masters	1723	5.3%
Assoc-voc	1382	4.2%
11th	1175	3.6%
Assoc-acdm	1067	3.3%
10th	933	2.9%
7th-8th	646	2.0%
Prof-school	576	1.8%
Other values (6)	1912	5.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
hs-grad	10501	32.3%
some-college	7291	22.4%
bachelors	5355	16.4%
masters	1723	5.3%
assoc-voc	1382	4.2%
11th	1175	3.6%
assoc-acdm	1067	3.3%
10th	933	2.9%
7th-8th	646	2.0%
prof-school	576	1.8%
Other values (6)	1912	5.9%

Most occurring characters

Value	Count	Frequency (%)
	32561	10.6%
e	29415	9.6%
o	26424	8.6%
-	21964	7.2%
l	20564	6.7%
a	19059	6.2%
r	18619	6.1%
c	18584	6.1%
S	17792	5.8%
g	17792	5.8%
Other values (22)	84397	27.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	205896	67.0%
Uppercase Letter	38860	12.7%
Space Separator	32561	10.6%
Dash Punctuation	21964	7.2%
Decimal Number	7890	2.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	29415	14.3%
o	26424	12.8%
l	20564	10.0%
a	19059	9.3%
r	18619	9.0%
c	18584	9.0%
g	17792	8.6%
s	14494	7.0%
d	11568	5.6%
h	11163	5.4%
Other values (4)	18214	8.8%

Decimal Number

Value	Count	Frequency (%)
1	3884	49.2%
0	933	11.8%
7	646	8.2%
8	646	8.2%
9	514	6.5%
2	433	5.5%
5	333	4.2%
6	333	4.2%
4	168	2.1%

Uppercase Letter

Value	Count	Frequency (%)
S	17792	45.8%
H	10501	27.0%
B	5355	13.8%
A	2449	6.3%
M	1723	4.4%
P	627	1.6%
D	413	1.1%

Space Separator

Value	Count	Frequency (%)
	32561	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	21964	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	244756	79.7%
Common	62415	20.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	29415	12.0%
o	26424	10.8%
l	20564	8.4%
a	19059	7.8%
r	18619	7.6%
c	18584	7.6%
S	17792	7.3%
g	17792	7.3%
s	14494	5.9%
d	11568	4.7%
Other values (11)	50445	20.6%

Common

Value	Count	Frequency (%)
	32561	52.2%
-	21964	35.2%
1	3884	6.2%
0	933	1.5%
7	646	1.0%
8	646	1.0%
9	514	0.8%
2	433	0.7%
5	333	0.5%
6	333	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	307171	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	32561	10.6%
e	29415	9.6%
o	26424	8.6%
-	21964	7.2%
l	20564	6.7%
a	19059	6.2%
r	18619	6.1%
c	18584	6.1%
S	17792	5.8%
g	17792	5.8%
Other values (22)	84397	27.5%

education-num
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	16
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10.08067934

Minimum	1
Maximum	16
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	254.5 KiB

Histogram of lengths of the category

Value	Count	Frequency (%)
hs-grad	10501	32.3%
some-college	7291	22.4%
bachelors	5355	16.4%
masters	1723	5.3%
assoc-voc	1382	4.2%
11th	1175	3.6%
assoc-acdm	1067	3.3%
10th	933	2.9%
7th-8th	646	2.0%
prof-school	576	1.8%
Other values (6)	1912	5.9%

Most occurring characters

Value	Count	Frequency (%)
	32561	10.6%
e	29415	9.6%
o	26424	8.6%
-	21964	7.2%
l	20564	6.7%
a	19059	6.2%
r	18619	6.1%
c	18584	6.1%
S	17792	5.8%
g	17792	5.8%
Other values (22)	84397	27.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	205896	67.0%
Uppercase Letter	38860	12.7%
Space Separator	32561	10.6%
Dash Punctuation	21964	7.2%
Decimal Number	7890	2.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	29415	14.3%
o	26424	12.8%
l	20564	10.0%
a	19059	9.3%
r	18619	9.0%
c	18584	9.0%
g	17792	8.6%
s	14494	7.0%
d	11568	5.6%
h	11163	5.4%
Other values (4)	18214	8.8%

Decimal Number

Value	Count	Frequency (%)
1	3884	49.2%
0	933	11.8%
7	646	8.2%
8	646	8.2%
9	514	6.5%
2	433	5.5%
5	333	4.2%
6	333	4.2%
4	168	2.1%

Uppercase Letter

Value	Count	Frequency (%)
S	17792	45.8%
H	10501	27.0%
B	5355	13.8%
A	2449	6.3%
M	1723	4.4%
P	627	1.6%
D	413	1.1%

Space Separator

Value	Count	Frequency (%)
	32561	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	21964	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	244756	79.7%
Common	62415	20.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	29415	12.0%
o	26424	10.8%
l	20564	8.4%
a	19059	7.8%
r	18619	7.6%
c	18584	7.6%
S	17792	7.3%
g	17792	7.3%
s	14494	5.9%
d	11568	4.7%
Other values (11)	50445	20.6%

Common

Value	Count	Frequency (%)
	32561	52.2%
-	21964	35.2%
1	3884	6.2%
0	933	1.5%
7	646	1.0%
8	646	1.0%
9	514	0.8%
2	433	0.7%
5	333	0.5%
6	333	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	307171	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	32561	10.6%
e	29415	9.6%
o	26424	8.6%
-	21964	7.2%
l	20564	6.7%
a	19059	6.2%
r	18619	6.1%
c	18584	6.1%
S	17792	5.8%
g	17792	5.8%
Other values (22)	84397	27.5%

education-num
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	16
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10.08067934

Minimum	1
Maximum	16
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	254.5 KiB

Quantile statistics

Minimum	1
5-th percentile	5
Q1	9
median	10
Q3	12
95-th percentile	14
Maximum	16
Range	15
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.572720332
Coefficient of variation (CV)	0.2552129916
Kurtosis	0.6234440748
Mean	10.08067934
Median Absolute Deviation (MAD)	1
Skewness	-0.3116758679
Sum	328237
Variance	6.618889907
Monotonicity	Not monotonic

Quantile statistics

Minimum	1
5-th percentile	5
Q1	9
median	10
Q3	12
95-th percentile	14
Maximum	16
Range	15
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.572720332
Coefficient of variation (CV)	0.2552129916
Kurtosis	0.6234440748
Mean	10.08067934
Median Absolute Deviation (MAD)	1
Skewness	-0.3116758679
Sum	328237
Variance	6.618889907
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
9	10501	32.3%
10	7291	22.4%
13	5355	16.4%
14	1723	5.3%
11	1382	4.2%
7	1175	3.6%
12	1067	3.3%
6	933	2.9%
4	646	2.0%
15	576	1.8%
Other values (6)	1912	5.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	51	0.2%
2	168	0.5%
3	333	1.0%
4	646	2.0%
5	514	1.6%
6	933	2.9%
7	1175	3.6%
8	433	1.3%
9	10501	32.3%
10	7291	22.4%

Value	Count	Frequency (%)
16	413	1.3%
15	576	1.8%
14	1723	5.3%
13	5355	16.4%
12	1067	3.3%
11	1382	4.2%
10	7291	22.4%
9	10501	32.3%
8	433	1.3%
7	1175	3.6%

marital-status
Categorical

HIGH CORRELATION

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.2 MiB

Married-civ-spouse	14976
Never-married	10683
Divorced	4443
Separated	1025
Widowed	993
Other values (2)	441

Length

Max length	22
Median length	19
Mean length	15.41405362
Min length	8

Characters and Unicode

Total characters	501897
Distinct characters	25
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Never-married
2nd row	Married-civ-spouse
3rd row	Divorced
4th row	Married-civ-spouse
5th row	Married-civ-spouse

Common Values

Value	Count	Frequency (%)
Married-civ-spouse	14976	46.0%
Never-married	10683	32.8%
Divorced	4443	13.6%
Separated	1025	3.1%
Widowed	993	3.0%
Married-spouse-absent	418	1.3%
Married-AF-spouse	23	0.1%

Length

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
9	10501	32.3%
10	7291	22.4%
13	5355	16.4%
14	1723	5.3%
11	1382	4.2%
7	1175	3.6%
12	1067	3.3%
6	933	2.9%
4	646	2.0%
15	576	1.8%
Other values (6)	1912	5.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	51	0.2%
2	168	0.5%
3	333	1.0%
4	646	2.0%
5	514	1.6%
6	933	2.9%
7	1175	3.6%
8	433	1.3%
9	10501	32.3%
10	7291	22.4%

Value	Count	Frequency (%)
16	413	1.3%
15	576	1.8%
14	1723	5.3%
13	5355	16.4%
12	1067	3.3%
11	1382	4.2%
10	7291	22.4%
9	10501	32.3%
8	433	1.3%
7	1175	3.6%

marital-status
Categorical

HIGH CORRELATION

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.2 MiB

Married-civ-spouse	14976
Never-married	10683
Divorced	4443
Separated	1025
Widowed	993
Other values (2)	441

Length

Max length	22
Median length	19
Mean length	15.41405362
Min length	8

Characters and Unicode

Total characters	501897
Distinct characters	25
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Never-married
2nd row	Married-civ-spouse
3rd row	Divorced
4th row	Married-civ-spouse
5th row	Married-civ-spouse

Common Values

Value	Count	Frequency (%)
Married-civ-spouse	14976	46.0%
Never-married	10683	32.8%
Divorced	4443	13.6%
Separated	1025	3.1%
Widowed	993	3.0%
Married-spouse-absent	418	1.3%
Married-AF-spouse	23	0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
married-civ-spouse	14976	46.0%
never-married	10683	32.8%
divorced	4443	13.6%
separated	1025	3.1%
widowed	993	3.0%
married-spouse-absent	418	1.3%
married-af-spouse	23	0.1%

Most occurring characters

Value	Count	Frequency (%)
e	70787	14.1%
r	68351	13.6%
i	46512	9.3%
-	41517	8.3%
d	33554	6.7%
	32561	6.5%
s	31252	6.2%
v	30102	6.0%
a	28568	5.7%
o	20853	4.2%
Other values (15)	97840	19.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	395212	78.7%
Dash Punctuation	41517	8.3%
Uppercase Letter	32607	6.5%
Space Separator	32561	6.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	70787	17.9%
r	68351	17.3%
i	46512	11.8%
d	33554	8.5%
s	31252	7.9%
v	30102	7.6%
a	28568	7.2%
o	20853	5.3%
c	19419	4.9%
p	16442	4.2%
Other values (6)	29372	7.4%

Uppercase Letter

Value	Count	Frequency (%)
M	15417	47.3%
N	10683	32.8%
D	4443	13.6%
S	1025	3.1%
W	993	3.0%
A	23	0.1%
F	23	0.1%

Dash Punctuation

Value	Count	Frequency (%)
-	41517	100.0%

Space Separator

Value	Count	Frequency (%)
	32561	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	427819	85.2%
Common	74078	14.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	70787	16.5%
r	68351	16.0%
i	46512	10.9%
d	33554	7.8%
s	31252	7.3%
v	30102	7.0%
a	28568	6.7%
o	20853	4.9%
c	19419	4.5%
p	16442	3.8%
Other values (13)	61979	14.5%

Common

Value	Count	Frequency (%)
-	41517	56.0%
	32561	44.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	501897	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	70787	14.1%
r	68351	13.6%
i	46512	9.3%
-	41517	8.3%
d	33554	6.7%
	32561	6.5%
s	31252	6.2%
v	30102	6.0%
a	28568	5.7%
o	20853	4.2%
Other values (15)	97840	19.5%

occupation
Categorical

HIGH CORRELATION
MISSING

Distinct	14
Distinct (%)	< 0.1%
Missing	1843
Missing (%)	5.7%
Memory size	2.1 MiB

Prof-specialty	4140
Craft-repair	4099
Exec-managerial	4066
Adm-clerical	3770
Sales	3650
Other values (9)	10993

Length

Max length	18
Median length	16
Mean length	13.87398268
Min length	6

Characters and Unicode

Total characters	426181
Distinct characters	32
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Adm-clerical
2nd row	Exec-managerial
3rd row	Handlers-cleaners
4th row	Handlers-cleaners
5th row	Prof-specialty

Common Values

Value	Count	Frequency (%)
Prof-specialty	4140	12.7%
Craft-repair	4099	12.6%
Exec-managerial	4066	12.5%
Adm-clerical	3770	11.6%
Sales	3650	11.2%
Other-service	3295	10.1%
Machine-op-inspct	2002	6.1%
Transport-moving	1597	4.9%
Handlers-cleaners	1370	4.2%
Farming-fishing	994	3.1%
Other values (4)	1735	5.3%
(Missing)	1843	5.7%

Length

Value	Count	Frequency (%)
married-civ-spouse	14976	46.0%
never-married	10683	32.8%
divorced	4443	13.6%
separated	1025	3.1%
widowed	993	3.0%
married-spouse-absent	418	1.3%
married-af-spouse	23	0.1%

Most occurring characters

Value	Count	Frequency (%)
e	70787	14.1%
r	68351	13.6%
i	46512	9.3%
-	41517	8.3%
d	33554	6.7%
	32561	6.5%
s	31252	6.2%
v	30102	6.0%
a	28568	5.7%
o	20853	4.2%
Other values (15)	97840	19.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	395212	78.7%
Dash Punctuation	41517	8.3%
Uppercase Letter	32607	6.5%
Space Separator	32561	6.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	70787	17.9%
r	68351	17.3%
i	46512	11.8%
d	33554	8.5%
s	31252	7.9%
v	30102	7.6%
a	28568	7.2%
o	20853	5.3%
c	19419	4.9%
p	16442	4.2%
Other values (6)	29372	7.4%

Uppercase Letter

Value	Count	Frequency (%)
M	15417	47.3%
N	10683	32.8%
D	4443	13.6%
S	1025	3.1%
W	993	3.0%
A	23	0.1%
F	23	0.1%

Dash Punctuation

Value	Count	Frequency (%)
-	41517	100.0%

Space Separator

Value	Count	Frequency (%)
	32561	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	427819	85.2%
Common	74078	14.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	70787	16.5%
r	68351	16.0%
i	46512	10.9%
d	33554	7.8%
s	31252	7.3%
v	30102	7.0%
a	28568	6.7%
o	20853	4.9%
c	19419	4.5%
p	16442	3.8%
Other values (13)	61979	14.5%

Common

Value	Count	Frequency (%)
-	41517	56.0%
	32561	44.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	501897	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	70787	14.1%
r	68351	13.6%
i	46512	9.3%
-	41517	8.3%
d	33554	6.7%
	32561	6.5%
s	31252	6.2%
v	30102	6.0%
a	28568	5.7%
o	20853	4.2%
Other values (15)	97840	19.5%

occupation
Categorical

HIGH CORRELATION
MISSING

Distinct	14
Distinct (%)	< 0.1%
Missing	1843
Missing (%)	5.7%
Memory size	2.1 MiB

Prof-specialty	4140
Craft-repair	4099
Exec-managerial	4066
Adm-clerical	3770
Sales	3650
Other values (9)	10993

Length

Max length	18
Median length	16
Mean length	13.87398268
Min length	6

Characters and Unicode

Total characters	426181
Distinct characters	32
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Adm-clerical
2nd row	Exec-managerial
3rd row	Handlers-cleaners
4th row	Handlers-cleaners
5th row	Prof-specialty

Common Values

Value	Count	Frequency (%)
Prof-specialty	4140	12.7%
Craft-repair	4099	12.6%
Exec-managerial	4066	12.5%
Adm-clerical	3770	11.6%
Sales	3650	11.2%
Other-service	3295	10.1%
Machine-op-inspct	2002	6.1%
Transport-moving	1597	4.9%
Handlers-cleaners	1370	4.2%
Farming-fishing	994	3.1%
Other values (4)	1735	5.3%
(Missing)	1843	5.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
prof-specialty	4140	13.5%
craft-repair	4099	13.3%
exec-managerial	4066	13.2%
adm-clerical	3770	12.3%
sales	3650	11.9%
other-service	3295	10.7%
machine-op-inspct	2002	6.5%
transport-moving	1597	5.2%
handlers-cleaners	1370	4.5%
farming-fishing	994	3.2%
Other values (4)	1735	5.6%

Most occurring characters

Value	Count	Frequency (%)
e	42979	10.1%
r	40333	9.5%
a	39289	9.2%
	30718	7.2%
-	29219	6.9%
i	28751	6.7%
c	26001	6.1%
l	22136	5.2%
s	20302	4.8%
t	17359	4.1%
Other values (22)	129094	30.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	335517	78.7%
Uppercase Letter	30727	7.2%
Space Separator	30718	7.2%
Dash Punctuation	29219	6.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	42979	12.8%
r	40333	12.0%
a	39289	11.7%
i	28751	8.6%
c	26001	7.7%
l	22136	6.6%
s	20302	6.1%
t	17359	5.2%
n	15992	4.8%
p	15696	4.7%
Other values (10)	66679	19.9%

Uppercase Letter

Value	Count	Frequency (%)
P	4938	16.1%
C	4099	13.3%
E	4066	13.2%
A	3779	12.3%
S	3650	11.9%
O	3295	10.7%
T	2525	8.2%
M	2002	6.5%
H	1370	4.5%
F	1003	3.3%

Space Separator

Value	Count	Frequency (%)
	30718	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	29219	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	366244	85.9%
Common	59937	14.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	42979	11.7%
r	40333	11.0%
a	39289	10.7%
i	28751	7.9%
c	26001	7.1%
l	22136	6.0%
s	20302	5.5%
t	17359	4.7%
n	15992	4.4%
p	15696	4.3%
Other values (20)	97406	26.6%

Common

Value	Count	Frequency (%)
	30718	51.3%
-	29219	48.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	426181	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	42979	10.1%
r	40333	9.5%
a	39289	9.2%
	30718	7.2%
-	29219	6.9%
i	28751	6.7%
c	26001	6.1%
l	22136	5.2%
s	20302	4.8%
t	17359	4.1%
Other values (22)	129094	30.3%

relationship
Categorical

HIGH CORRELATION

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.1 MiB

Husband	13193
Not-in-family	8305
Own-child	5068
Unmarried	3446
Wife	1568

Length

Max length	15
Median length	14
Mean length	10.11974448
Min length	5

Characters and Unicode

Total characters	329509
Distinct characters	26
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Not-in-family
2nd row	Husband
3rd row	Not-in-family
4th row	Husband
5th row	Wife

Common Values

Value	Count	Frequency (%)
Husband	13193	40.5%
Not-in-family	8305	25.5%
Own-child	5068	15.6%
Unmarried	3446	10.6%
Wife	1568	4.8%
Other-relative	981	3.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
prof-specialty	4140	13.5%
craft-repair	4099	13.3%
exec-managerial	4066	13.2%
adm-clerical	3770	12.3%
sales	3650	11.9%
other-service	3295	10.7%
machine-op-inspct	2002	6.5%
transport-moving	1597	5.2%
handlers-cleaners	1370	4.5%
farming-fishing	994	3.2%
Other values (4)	1735	5.6%

Most occurring characters

Value	Count	Frequency (%)
e	42979	10.1%
r	40333	9.5%
a	39289	9.2%
	30718	7.2%
-	29219	6.9%
i	28751	6.7%
c	26001	6.1%
l	22136	5.2%
s	20302	4.8%
t	17359	4.1%
Other values (22)	129094	30.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	335517	78.7%
Uppercase Letter	30727	7.2%
Space Separator	30718	7.2%
Dash Punctuation	29219	6.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	42979	12.8%
r	40333	12.0%
a	39289	11.7%
i	28751	8.6%
c	26001	7.7%
l	22136	6.6%
s	20302	6.1%
t	17359	5.2%
n	15992	4.8%
p	15696	4.7%
Other values (10)	66679	19.9%

Uppercase Letter

Value	Count	Frequency (%)
P	4938	16.1%
C	4099	13.3%
E	4066	13.2%
A	3779	12.3%
S	3650	11.9%
O	3295	10.7%
T	2525	8.2%
M	2002	6.5%
H	1370	4.5%
F	1003	3.3%

Space Separator

Value	Count	Frequency (%)
	30718	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	29219	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	366244	85.9%
Common	59937	14.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	42979	11.7%
r	40333	11.0%
a	39289	10.7%
i	28751	7.9%
c	26001	7.1%
l	22136	6.0%
s	20302	5.5%
t	17359	4.7%
n	15992	4.4%
p	15696	4.3%
Other values (20)	97406	26.6%

Common

Value	Count	Frequency (%)
	30718	51.3%
-	29219	48.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	426181	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	42979	10.1%
r	40333	9.5%
a	39289	9.2%
	30718	7.2%
-	29219	6.9%
i	28751	6.7%
c	26001	6.1%
l	22136	5.2%
s	20302	4.8%
t	17359	4.1%
Other values (22)	129094	30.3%

relationship
Categorical

HIGH CORRELATION

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.1 MiB

Husband	13193
Not-in-family	8305
Own-child	5068
Unmarried	3446
Wife	1568

Length

Max length	15
Median length	14
Mean length	10.11974448
Min length	5

Characters and Unicode

Total characters	329509
Distinct characters	26
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Not-in-family
2nd row	Husband
3rd row	Not-in-family
4th row	Husband
5th row	Wife

Common Values

Value	Count	Frequency (%)
Husband	13193	40.5%
Not-in-family	8305	25.5%
Own-child	5068	15.6%
Unmarried	3446	10.6%
Wife	1568	4.8%
Other-relative	981	3.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
husband	13193	40.5%
not-in-family	8305	25.5%
own-child	5068	15.6%
unmarried	3446	10.6%
wife	1568	4.8%
other-relative	981	3.0%

Most occurring characters

Value	Count	Frequency (%)
	32561	9.9%
n	30012	9.1%
i	27673	8.4%
a	25925	7.9%
-	22659	6.9%
d	21707	6.6%
l	14354	4.4%
H	13193	4.0%
u	13193	4.0%
s	13193	4.0%
Other values (16)	115039	34.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	241728	73.4%
Space Separator	32561	9.9%
Uppercase Letter	32561	9.9%
Dash Punctuation	22659	6.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	30012	12.4%
i	27673	11.4%
a	25925	10.7%
d	21707	9.0%
l	14354	5.9%
u	13193	5.5%
s	13193	5.5%
b	13193	5.5%
m	11751	4.9%
t	10267	4.2%
Other values (9)	60460	25.0%

Uppercase Letter

Value	Count	Frequency (%)
H	13193	40.5%
N	8305	25.5%
O	6049	18.6%
U	3446	10.6%
W	1568	4.8%

Space Separator

Value	Count	Frequency (%)
	32561	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	22659	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	274289	83.2%
Common	55220	16.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	30012	10.9%
i	27673	10.1%
a	25925	9.5%
d	21707	7.9%
l	14354	5.2%
H	13193	4.8%
u	13193	4.8%
s	13193	4.8%
b	13193	4.8%
m	11751	4.3%
Other values (14)	90095	32.8%

Common

Value	Count	Frequency (%)
	32561	59.0%
-	22659	41.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	329509	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	32561	9.9%
n	30012	9.1%
i	27673	8.4%
a	25925	7.9%
-	22659	6.9%
d	21707	6.6%
l	14354	4.4%
H	13193	4.0%
u	13193	4.0%
s	13193	4.0%
Other values (16)	115039	34.9%

race
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.0 MiB

White	27816
Black	3124
Asian-Pac-Islander	1039
Amer-Indian-Eskimo	311
Other	271

Length

Max length	19
Median length	6
Mean length	6.53898836
Min length	6

Characters and Unicode

Total characters	212916
Distinct characters	23
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	White
2nd row	White
3rd row	White
4th row	Black
5th row	Black

Common Values

Value	Count	Frequency (%)
White	27816	85.4%
Black	3124	9.6%
Asian-Pac-Islander	1039	3.2%
Amer-Indian-Eskimo	311	1.0%
Other	271	0.8%

Length

Value	Count	Frequency (%)
husband	13193	40.5%
not-in-family	8305	25.5%
own-child	5068	15.6%
unmarried	3446	10.6%
wife	1568	4.8%
other-relative	981	3.0%

Most occurring characters

Value	Count	Frequency (%)
	32561	9.9%
n	30012	9.1%
i	27673	8.4%
a	25925	7.9%
-	22659	6.9%
d	21707	6.6%
l	14354	4.4%
H	13193	4.0%
u	13193	4.0%
s	13193	4.0%
Other values (16)	115039	34.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	241728	73.4%
Space Separator	32561	9.9%
Uppercase Letter	32561	9.9%
Dash Punctuation	22659	6.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	30012	12.4%
i	27673	11.4%
a	25925	10.7%
d	21707	9.0%
l	14354	5.9%
u	13193	5.5%
s	13193	5.5%
b	13193	5.5%
m	11751	4.9%
t	10267	4.2%
Other values (9)	60460	25.0%

Uppercase Letter

Value	Count	Frequency (%)
H	13193	40.5%
N	8305	25.5%
O	6049	18.6%
U	3446	10.6%
W	1568	4.8%

Space Separator

Value	Count	Frequency (%)
	32561	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	22659	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	274289	83.2%
Common	55220	16.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	30012	10.9%
i	27673	10.1%
a	25925	9.5%
d	21707	7.9%
l	14354	5.2%
H	13193	4.8%
u	13193	4.8%
s	13193	4.8%
b	13193	4.8%
m	11751	4.3%
Other values (14)	90095	32.8%

Common

Value	Count	Frequency (%)
	32561	59.0%
-	22659	41.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	329509	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	32561	9.9%
n	30012	9.1%
i	27673	8.4%
a	25925	7.9%
-	22659	6.9%
d	21707	6.6%
l	14354	4.4%
H	13193	4.0%
u	13193	4.0%
s	13193	4.0%
Other values (16)	115039	34.9%

race
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.0 MiB

White	27816
Black	3124
Asian-Pac-Islander	1039
Amer-Indian-Eskimo	311
Other	271

Length

Max length	19
Median length	6
Mean length	6.53898836
Min length	6

Characters and Unicode

Total characters	212916
Distinct characters	23
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	White
2nd row	White
3rd row	White
4th row	Black
5th row	Black

Common Values

Value	Count	Frequency (%)
White	27816	85.4%
Black	3124	9.6%
Asian-Pac-Islander	1039	3.2%
Amer-Indian-Eskimo	311	1.0%
Other	271	0.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
white	27816	85.4%
black	3124	9.6%
asian-pac-islander	1039	3.2%
amer-indian-eskimo	311	1.0%
other	271	0.8%

Most occurring characters

Value	Count	Frequency (%)
	32561	15.3%
i	29477	13.8%
e	29437	13.8%
h	28087	13.2%
t	28087	13.2%
W	27816	13.1%
a	6552	3.1%
l	4163	2.0%
c	4163	2.0%
k	3435	1.6%
Other values (13)	19138	9.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	142394	66.9%
Uppercase Letter	35261	16.6%
Space Separator	32561	15.3%
Dash Punctuation	2700	1.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	29477	20.7%
e	29437	20.7%
h	28087	19.7%
t	28087	19.7%
a	6552	4.6%
l	4163	2.9%
c	4163	2.9%
k	3435	2.4%
n	2700	1.9%
s	2389	1.7%
Other values (4)	3904	2.7%

Uppercase Letter

Value	Count	Frequency (%)
W	27816	78.9%
B	3124	8.9%
A	1350	3.8%
I	1350	3.8%
P	1039	2.9%
E	311	0.9%
O	271	0.8%

Space Separator

Value	Count	Frequency (%)
	32561	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2700	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	177655	83.4%
Common	35261	16.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	29477	16.6%
e	29437	16.6%
h	28087	15.8%
t	28087	15.8%
W	27816	15.7%
a	6552	3.7%
l	4163	2.3%
c	4163	2.3%
k	3435	1.9%
B	3124	1.8%
Other values (11)	13314	7.5%

Common

Value	Count	Frequency (%)
	32561	92.3%
-	2700	7.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	212916	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	32561	15.3%
i	29477	13.8%
e	29437	13.8%
h	28087	13.2%
t	28087	13.2%
W	27816	13.1%
a	6552	3.1%
l	4163	2.0%
c	4163	2.0%
k	3435	1.6%
Other values (13)	19138	9.0%

sex
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.9 MiB

Male	21790
Female	10771

Length

Max length	7
Median length	5
Mean length	5.661589018
Min length	5

Characters and Unicode

Total characters	184347
Distinct characters	7
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Male
2nd row	Male
3rd row	Male
4th row	Male
5th row	Female

Common Values

Value	Count	Frequency (%)
Male	21790	66.9%
Female	10771	33.1%

Length

Value	Count	Frequency (%)
white	27816	85.4%
black	3124	9.6%
asian-pac-islander	1039	3.2%
amer-indian-eskimo	311	1.0%
other	271	0.8%

Most occurring characters

Value	Count	Frequency (%)
	32561	15.3%
i	29477	13.8%
e	29437	13.8%
h	28087	13.2%
t	28087	13.2%
W	27816	13.1%
a	6552	3.1%
l	4163	2.0%
c	4163	2.0%
k	3435	1.6%
Other values (13)	19138	9.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	142394	66.9%
Uppercase Letter	35261	16.6%
Space Separator	32561	15.3%
Dash Punctuation	2700	1.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	29477	20.7%
e	29437	20.7%
h	28087	19.7%
t	28087	19.7%
a	6552	4.6%
l	4163	2.9%
c	4163	2.9%
k	3435	2.4%
n	2700	1.9%
s	2389	1.7%
Other values (4)	3904	2.7%

Uppercase Letter

Value	Count	Frequency (%)
W	27816	78.9%
B	3124	8.9%
A	1350	3.8%
I	1350	3.8%
P	1039	2.9%
E	311	0.9%
O	271	0.8%

Space Separator

Value	Count	Frequency (%)
	32561	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2700	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	177655	83.4%
Common	35261	16.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	29477	16.6%
e	29437	16.6%
h	28087	15.8%
t	28087	15.8%
W	27816	15.7%
a	6552	3.7%
l	4163	2.3%
c	4163	2.3%
k	3435	1.9%
B	3124	1.8%
Other values (11)	13314	7.5%

Common

Value	Count	Frequency (%)
	32561	92.3%
-	2700	7.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	212916	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	32561	15.3%
i	29477	13.8%
e	29437	13.8%
h	28087	13.2%
t	28087	13.2%
W	27816	13.1%
a	6552	3.1%
l	4163	2.0%
c	4163	2.0%
k	3435	1.6%
Other values (13)	19138	9.0%

sex
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.9 MiB

Male	21790
Female	10771

Length

Max length	7
Median length	5
Mean length	5.661589018
Min length	5

Characters and Unicode

Total characters	184347
Distinct characters	7
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Male
2nd row	Male
3rd row	Male
4th row	Male
5th row	Female

Common Values

Value	Count	Frequency (%)
Male	21790	66.9%
Female	10771	33.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
male	21790	66.9%
female	10771	33.1%

Most occurring characters

Value	Count	Frequency (%)
e	43332	23.5%
	32561	17.7%
a	32561	17.7%
l	32561	17.7%
M	21790	11.8%
F	10771	5.8%
m	10771	5.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	119225	64.7%
Space Separator	32561	17.7%
Uppercase Letter	32561	17.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	43332	36.3%
a	32561	27.3%
l	32561	27.3%
m	10771	9.0%

Uppercase Letter

Value	Count	Frequency (%)
M	21790	66.9%
F	10771	33.1%

Space Separator

Value	Count	Frequency (%)
	32561	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	151786	82.3%
Common	32561	17.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	43332	28.5%
a	32561	21.5%
l	32561	21.5%
M	21790	14.4%
F	10771	7.1%
m	10771	7.1%

Common

Value	Count	Frequency (%)
	32561	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	184347	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	43332	23.5%
	32561	17.7%
a	32561	17.7%
l	32561	17.7%
M	21790	11.8%
F	10771	5.8%
m	10771	5.8%

capital-gain
Real number (ℝ_≥0)

ZEROS

Distinct	119
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1077.648844

Minimum	0
Maximum	99999
Zeros	29849
Zeros (%)	91.7%
Negative	0
Negative (%)	0.0%
Memory size	254.5 KiB

Value	Count	Frequency (%)
male	21790	66.9%
female	10771	33.1%

Most occurring characters

Value	Count	Frequency (%)
e	43332	23.5%
	32561	17.7%
a	32561	17.7%
l	32561	17.7%
M	21790	11.8%
F	10771	5.8%
m	10771	5.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	119225	64.7%
Space Separator	32561	17.7%
Uppercase Letter	32561	17.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	43332	36.3%
a	32561	27.3%
l	32561	27.3%
m	10771	9.0%

Uppercase Letter

Value	Count	Frequency (%)
M	21790	66.9%
F	10771	33.1%

Space Separator

Value	Count	Frequency (%)
	32561	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	151786	82.3%
Common	32561	17.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	43332	28.5%
a	32561	21.5%
l	32561	21.5%
M	21790	14.4%
F	10771	7.1%
m	10771	7.1%

Common

Value	Count	Frequency (%)
	32561	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	184347	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	43332	23.5%
	32561	17.7%
a	32561	17.7%
l	32561	17.7%
M	21790	11.8%
F	10771	5.8%
m	10771	5.8%

capital-gain
Real number (ℝ_≥0)

ZEROS

Distinct	119
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1077.648844

Minimum	0
Maximum	99999
Zeros	29849
Zeros (%)	91.7%
Negative	0
Negative (%)	0.0%
Memory size	254.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	5013
Maximum	99999
Range	99999
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	7385.292085
Coefficient of variation (CV)	6.853152702
Kurtosis	154.7994379
Mean	1077.648844
Median Absolute Deviation (MAD)	0
Skewness	11.95384769
Sum	35089324
Variance	54542539.18
Monotonicity	Not monotonic

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	5013
Maximum	99999
Range	99999
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	7385.292085
Coefficient of variation (CV)	6.853152702
Kurtosis	154.7994379
Mean	1077.648844
Median Absolute Deviation (MAD)	0
Skewness	11.95384769
Sum	35089324
Variance	54542539.18
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	29849	91.7%
15024	347	1.1%
7688	284	0.9%
7298	246	0.8%
99999	159	0.5%
5178	97	0.3%
3103	97	0.3%
4386	70	0.2%
5013	69	0.2%
8614	55	0.2%
Other values (109)	1288	4.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	29849	91.7%
114	6	< 0.1%
401	2	< 0.1%
594	34	0.1%
914	8	< 0.1%
991	5	< 0.1%
1055	25	0.1%
1086	4	< 0.1%
1111	1	< 0.1%
1151	8	< 0.1%

Value	Count	Frequency (%)
99999	159	0.5%
41310	2	< 0.1%
34095	5	< 0.1%
27828	34	0.1%
25236	11	< 0.1%
25124	4	< 0.1%
22040	1	< 0.1%
20051	37	0.1%
18481	2	< 0.1%
15831	6	< 0.1%

capital-loss
Real number (ℝ_≥0)

ZEROS

Distinct	92
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	87.30382973

Minimum	0
Maximum	4356
Zeros	31042
Zeros (%)	95.3%
Negative	0
Negative (%)	0.0%
Memory size	254.5 KiB

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	29849	91.7%
15024	347	1.1%
7688	284	0.9%
7298	246	0.8%
99999	159	0.5%
5178	97	0.3%
3103	97	0.3%
4386	70	0.2%
5013	69	0.2%
8614	55	0.2%
Other values (109)	1288	4.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	29849	91.7%
114	6	< 0.1%
401	2	< 0.1%
594	34	0.1%
914	8	< 0.1%
991	5	< 0.1%
1055	25	0.1%
1086	4	< 0.1%
1111	1	< 0.1%
1151	8	< 0.1%

Value	Count	Frequency (%)
99999	159	0.5%
41310	2	< 0.1%
34095	5	< 0.1%
27828	34	0.1%
25236	11	< 0.1%
25124	4	< 0.1%
22040	1	< 0.1%
20051	37	0.1%
18481	2	< 0.1%
15831	6	< 0.1%

capital-loss
Real number (ℝ_≥0)

ZEROS

Distinct	92
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	87.30382973

Minimum	0
Maximum	4356
Zeros	31042
Zeros (%)	95.3%
Negative	0
Negative (%)	0.0%
Memory size	254.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	4356
Range	4356
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	402.9602186
Coefficient of variation (CV)	4.615607584
Kurtosis	20.37680171
Mean	87.30382973
Median Absolute Deviation (MAD)	0
Skewness	4.594629122
Sum	2842700
Variance	162376.9378
Monotonicity	Not monotonic

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	4356
Range	4356
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	402.9602186
Coefficient of variation (CV)	4.615607584
Kurtosis	20.37680171
Mean	87.30382973
Median Absolute Deviation (MAD)	0
Skewness	4.594629122
Sum	2842700
Variance	162376.9378
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	31042	95.3%
1902	202	0.6%
1977	168	0.5%
1887	159	0.5%
1848	51	0.2%
1485	51	0.2%
2415	49	0.2%
1602	47	0.1%
1740	42	0.1%
1590	40	0.1%
Other values (82)	710	2.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	31042	95.3%
155	1	< 0.1%
213	4	< 0.1%
323	3	< 0.1%
419	3	< 0.1%
625	12	< 0.1%
653	3	< 0.1%
810	2	< 0.1%
880	6	< 0.1%
974	2	< 0.1%

Value	Count	Frequency (%)
4356	3	< 0.1%
3900	2	< 0.1%
3770	2	< 0.1%
3683	2	< 0.1%
3004	2	< 0.1%
2824	10	< 0.1%
2754	2	< 0.1%
2603	5	< 0.1%
2559	12	< 0.1%
2547	4	< 0.1%

hours-per-week
Real number (ℝ_≥0)

Distinct	94
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	40.43745585

Minimum	1
Maximum	99
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	254.5 KiB

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	31042	95.3%
1902	202	0.6%
1977	168	0.5%
1887	159	0.5%
1848	51	0.2%
1485	51	0.2%
2415	49	0.2%
1602	47	0.1%
1740	42	0.1%
1590	40	0.1%
Other values (82)	710	2.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	31042	95.3%
155	1	< 0.1%
213	4	< 0.1%
323	3	< 0.1%
419	3	< 0.1%
625	12	< 0.1%
653	3	< 0.1%
810	2	< 0.1%
880	6	< 0.1%
974	2	< 0.1%

Value	Count	Frequency (%)
4356	3	< 0.1%
3900	2	< 0.1%
3770	2	< 0.1%
3683	2	< 0.1%
3004	2	< 0.1%
2824	10	< 0.1%
2754	2	< 0.1%
2603	5	< 0.1%
2559	12	< 0.1%
2547	4	< 0.1%

hours-per-week
Real number (ℝ_≥0)

Distinct	94
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	40.43745585

Minimum	1
Maximum	99
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	254.5 KiB

Quantile statistics

Minimum	1
5-th percentile	18
Q1	40
median	40
Q3	45
95-th percentile	60
Maximum	99
Range	98
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	12.34742868
Coefficient of variation (CV)	0.3053463286
Kurtosis	2.916686796
Mean	40.43745585
Median Absolute Deviation (MAD)	3
Skewness	0.2276425368
Sum	1316684
Variance	152.4589951
Monotonicity	Not monotonic

Quantile statistics

Minimum	1
5-th percentile	18
Q1	40
median	40
Q3	45
95-th percentile	60
Maximum	99
Range	98
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	12.34742868
Coefficient of variation (CV)	0.3053463286
Kurtosis	2.916686796
Mean	40.43745585
Median Absolute Deviation (MAD)	3
Skewness	0.2276425368
Sum	1316684
Variance	152.4589951
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
40	15217	46.7%
50	2819	8.7%
45	1824	5.6%
60	1475	4.5%
35	1297	4.0%
20	1224	3.8%
30	1149	3.5%
55	694	2.1%
25	674	2.1%
48	517	1.6%
Other values (84)	5671	17.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	20	0.1%
2	32	0.1%
3	39	0.1%
4	54	0.2%
5	60	0.2%
6	64	0.2%
7	26	0.1%
8	145	0.4%
9	18	0.1%
10	278	0.9%

Value	Count	Frequency (%)
99	85	0.3%
98	11	< 0.1%
97	2	< 0.1%
96	5	< 0.1%
95	2	< 0.1%
94	1	< 0.1%
92	1	< 0.1%
91	3	< 0.1%
90	29	0.1%
89	2	< 0.1%

native-country
Categorical

HIGH CORRELATION
MISSING

Distinct	41
Distinct (%)	0.1%
Missing	583
Missing (%)	1.8%
Memory size	2.2 MiB

United-States	29170
Mexico	643
Philippines	198
Germany	137
Canada	121
Other values (36)	1709

Length

Max length	27
Median length	14
Mean length	13.49974983
Min length	5

Characters and Unicode

Total characters	431695
Distinct characters	45
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	United-States
2nd row	United-States
3rd row	United-States
4th row	United-States
5th row	Cuba

Common Values

Value	Count	Frequency (%)
United-States	29170	89.6%
Mexico	643	2.0%
Philippines	198	0.6%
Germany	137	0.4%
Canada	121	0.4%
Puerto-Rico	114	0.4%
El-Salvador	106	0.3%
India	100	0.3%
Cuba	95	0.3%
England	90	0.3%
Other values (31)	1204	3.7%
(Missing)	583	1.8%

Length

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
40	15217	46.7%
50	2819	8.7%
45	1824	5.6%
60	1475	4.5%
35	1297	4.0%
20	1224	3.8%
30	1149	3.5%
55	694	2.1%
25	674	2.1%
48	517	1.6%
Other values (84)	5671	17.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	20	0.1%
2	32	0.1%
3	39	0.1%
4	54	0.2%
5	60	0.2%
6	64	0.2%
7	26	0.1%
8	145	0.4%
9	18	0.1%
10	278	0.9%

Value	Count	Frequency (%)
99	85	0.3%
98	11	< 0.1%
97	2	< 0.1%
96	5	< 0.1%
95	2	< 0.1%
94	1	< 0.1%
92	1	< 0.1%
91	3	< 0.1%
90	29	0.1%
89	2	< 0.1%

native-country
Categorical

HIGH CORRELATION
MISSING

Distinct	41
Distinct (%)	0.1%
Missing	583
Missing (%)	1.8%
Memory size	2.2 MiB

United-States	29170
Mexico	643
Philippines	198
Germany	137
Canada	121
Other values (36)	1709

Length

Max length	27
Median length	14
Mean length	13.49974983
Min length	5

Characters and Unicode

Total characters	431695
Distinct characters	45
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	United-States
2nd row	United-States
3rd row	United-States
4th row	United-States
5th row	Cuba

Common Values

Value	Count	Frequency (%)
United-States	29170	89.6%
Mexico	643	2.0%
Philippines	198	0.6%
Germany	137	0.4%
Canada	121	0.4%
Puerto-Rico	114	0.4%
El-Salvador	106	0.3%
India	100	0.3%
Cuba	95	0.3%
England	90	0.3%
Other values (31)	1204	3.7%
(Missing)	583	1.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
united-states	29170	91.2%
mexico	643	2.0%
philippines	198	0.6%
germany	137	0.4%
canada	121	0.4%
puerto-rico	114	0.4%
el-salvador	106	0.3%
india	100	0.3%
cuba	95	0.3%
england	90	0.3%
Other values (31)	1204	3.8%

Most occurring characters

Value	Count	Frequency (%)
t	88030	20.4%
e	59820	13.9%
	31978	7.4%
a	31774	7.4%
i	31372	7.3%
n	30568	7.1%
d	29801	6.9%
-	29503	6.8%
s	29416	6.8%
S	29396	6.8%
Other values (35)	40037	9.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	308611	71.5%
Uppercase Letter	61556	14.3%
Space Separator	31978	7.4%
Dash Punctuation	29503	6.8%
Other Punctuation	19	< 0.1%
Open Punctuation	14	< 0.1%
Close Punctuation	14	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	88030	28.5%
e	59820	19.4%
a	31774	10.3%
i	31372	10.2%
n	30568	9.9%
d	29801	9.7%
s	29416	9.5%
o	1448	0.5%
c	1124	0.4%
l	949	0.3%
Other values (11)	4309	1.4%

Uppercase Letter

Value	Count	Frequency (%)
S	29396	47.8%
U	29198	47.4%
M	643	1.0%
P	440	0.7%
C	369	0.6%
I	254	0.4%
G	244	0.4%
E	224	0.4%
R	184	0.3%
J	143	0.2%
Other values (9)	461	0.7%

Space Separator

Value	Count	Frequency (%)
	31978	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	29503	100.0%

Other Punctuation

Value	Count	Frequency (%)
&	19	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	14	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	14	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	370167	85.7%
Common	61528	14.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	88030	23.8%
e	59820	16.2%
a	31774	8.6%
i	31372	8.5%
n	30568	8.3%
d	29801	8.1%
s	29416	7.9%
S	29396	7.9%
U	29198	7.9%
o	1448	0.4%
Other values (30)	9344	2.5%

Common

Value	Count	Frequency (%)
	31978	52.0%
-	29503	48.0%
&	19	< 0.1%
(	14	< 0.1%
)	14	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	431695	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	88030	20.4%
e	59820	13.9%
	31978	7.4%
a	31774	7.4%
i	31372	7.3%
n	30568	7.1%
d	29801	6.9%
-	29503	6.8%
s	29416	6.8%
S	29396	6.8%
Other values (35)	40037	9.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
united-states	29170	91.2%
mexico	643	2.0%
philippines	198	0.6%
germany	137	0.4%
canada	121	0.4%
puerto-rico	114	0.4%
el-salvador	106	0.3%
india	100	0.3%
cuba	95	0.3%
england	90	0.3%
Other values (31)	1204	3.8%

Most occurring characters

Value	Count	Frequency (%)
t	88030	20.4%
e	59820	13.9%
	31978	7.4%
a	31774	7.4%
i	31372	7.3%
n	30568	7.1%
d	29801	6.9%
-	29503	6.8%
s	29416	6.8%
S	29396	6.8%
Other values (35)	40037	9.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	308611	71.5%
Uppercase Letter	61556	14.3%
Space Separator	31978	7.4%
Dash Punctuation	29503	6.8%
Other Punctuation	19	< 0.1%
Open Punctuation	14	< 0.1%
Close Punctuation	14	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	88030	28.5%
e	59820	19.4%
a	31774	10.3%
i	31372	10.2%
n	30568	9.9%
d	29801	9.7%
s	29416	9.5%
o	1448	0.5%
c	1124	0.4%
l	949	0.3%
Other values (11)	4309	1.4%

Uppercase Letter

Value	Count	Frequency (%)
S	29396	47.8%
U	29198	47.4%
M	643	1.0%
P	440	0.7%
C	369	0.6%
I	254	0.4%
G	244	0.4%
E	224	0.4%
R	184	0.3%
J	143	0.2%
Other values (9)	461	0.7%

Space Separator

Value	Count	Frequency (%)
	31978	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	29503	100.0%

Other Punctuation

Value	Count	Frequency (%)
&	19	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	14	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	14	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	370167	85.7%
Common	61528	14.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	88030	23.8%
e	59820	16.2%
a	31774	8.6%
i	31372	8.5%
n	30568	8.3%
d	29801	8.1%
s	29416	7.9%
S	29396	7.9%
U	29198	7.9%
o	1448	0.4%
Other values (30)	9344	2.5%

Common

Value	Count	Frequency (%)
	31978	52.0%
-	29503	48.0%
&	19	< 0.1%
(	14	< 0.1%
)	14	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	431695	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	88030	20.4%
e	59820	13.9%
	31978	7.4%
a	31774	7.4%
i	31372	7.3%
n	30568	7.1%
d	29801	6.9%
-	29503	6.8%
s	29416	6.8%
S	29396	6.8%
Other values (35)	40037	9.3%

Auto

The auto setting is an easily interpretable pairwise column metric of the following mapping: vartype-vartype : method, categorical-categorical : Cramer's V, numerical-categorical : Cramer's V (using a discretized numerical column), numerical-numerical : Spearman's ρ. This configuration uses the best suitable for each pair of columns.

Auto

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Spearman's ρ

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Pearson's r

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Kendall's τ

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Cramér's V (φc)

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Phik (φk)

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	age	workclass	fnlwgt	education	education-num	marital-status	occupation	relationship	race	sex	capital-gain	hours-per-week	native-country
0	39	State-gov	77516	Bachelors	13	Never-married	Adm-clerical	Not-in-family	White	Male	2174	40	United-States
1	50	Self-emp-not-inc	83311	Bachelors	13	Married-civ-spouse	Exec-managerial	Husband	White	Male	0	13	United-States
2	38	Private	215646	HS-grad	9	Divorced	Handlers-cleaners	Not-in-family	White	Male	0	40	United-States
3	53	Private	234721	11th	7	Married-civ-spouse	Handlers-cleaners	Husband	Black	Male	0	40	United-States
4	28	Private	338409	Bachelors	13	Married-civ-spouse	Prof-specialty	Wife	Black	Female	0	40	Cuba
5	37	Private	284582	Masters	14	Married-civ-spouse	Exec-managerial	Wife	White	Female	0	40	United-States
6	49	Private	160187	9th	5	Married-spouse-absent	Other-service	Not-in-family	Black	Female	0	16	Jamaica
7	52	Self-emp-not-inc	209642	HS-grad	9	Married-civ-spouse	Exec-managerial	Husband	White	Male	0	45	United-States
8	31	Private	45781	Masters	14	Never-married	Prof-specialty	Not-in-family	White	Female	14084	50	United-States
9	42	Private	159449	Bachelors	13	Married-civ-spouse	Exec-managerial	Husband	White	Male	5178	40	United-States

Last rows

	age	workclass	fnlwgt	education	education-num	marital-status	occupation	relationship	race	sex	capital-gain	hours-per-week	native-country
32551	32	Private	34066	10th	6	Married-civ-spouse	Handlers-cleaners	Husband	Amer-Indian-Eskimo	Male	0	40	United-States
32552	43	Private	84661	Assoc-voc	11	Married-civ-spouse	Sales	Husband	White	Male	0	45	United-States
32553	32	Private	116138	Masters	14	Never-married	Tech-support	Not-in-family	Asian-Pac-Islander	Male	0	11	Taiwan
32554	53	Private	321865	Masters	14	Married-civ-spouse	Exec-managerial	Husband	White	Male	0	40	United-States
32555	22	Private	310152	Some-college	10	Never-married	Protective-serv	Not-in-family	White	Male	0	40	United-States
32556	27	Private	257302	Assoc-acdm	12	Married-civ-spouse	Tech-support	Wife	White	Female	0	38	United-States
32557	40	Private	154374	HS-grad	9	Married-civ-spouse	Machine-op-inspct	Husband	White	Male	0	40	United-States
32558	58	Private	151910	HS-grad	9	Widowed	Adm-clerical	Unmarried	White	Female	0	40	United-States
32559	22	Private	201490	HS-grad	9	Never-married	Adm-clerical	Own-child	White	Male	0	20	United-States
32560	52	Self-emp-inc	287927	HS-grad	9	Married-civ-spouse	Exec-managerial	Wife	White	Female	15024	40	United-States

Most frequently occurring

	age	workclass	fnlwgt	education	education-num	marital-status	occupation	relationship	race	sex	hours-per-week	native-country	# duplicates
8	25	Private	195994	1st-4th	2	Never-married	Priv-house-serv	Not-in-family	White	Female	40	Guatemala	3
0	19	Private	97261	HS-grad	9	Never-married	Farming-fishing	Not-in-family	White	Male	40	United-States	2
1	19	Private	138153	Some-college	10	Never-married	Adm-clerical	Own-child	White	Female	10	United-States	2
2	19	Private	146679	Some-college	10	Never-married	Exec-managerial	Own-child	Black	Male	30	United-States	2
3	19	Private	251579	Some-college	10	Never-married	Other-service	Own-child	White	Male	14	United-States	2
4	20	Private	107658	Some-college	10	Never-married	Tech-support	Not-in-family	White	Female	10	United-States	2
5	21	Private	243368	Preschool	1	Never-married	Farming-fishing	Not-in-family	White	Male	50	Mexico	2
6	21	Private	250051	Some-college	10	Never-married	Prof-specialty	Own-child	White	Female	10	United-States	2
7	23	Private	240137	5th-6th	3	Never-married	Handlers-cleaners	Not-in-family	White	Male	55	Mexico	2
9	25	Private	308144	Bachelors	13	Never-married	Craft-repair	Not-in-family	White	Male	40	Mexico	2

Overview

Variables

Overview

Variables

Common Values

Length

Common Values

Length

Category Frequency Plot

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Uppercase Letter

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Uppercase Letter

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values

Length

Category Frequency Plot

Category Frequency Plot

Most occurring characters

Most occurring categories